1.Endoscopic Features of Background Gastritis Associated With Remnant Gastric Cancer: A Multicenter Retrospective Study
Takuma OHASHI ; Takeshi KUBOTA ; Hayato FUKUI ; Osamu DOHI ; Shuhei KOMATSU ; Yasuhiro SHIOAKI ; Yasuhito IZUMIYA ; Tetsuro YAMASHITA ; Sachie TANAKA ; Soujin SAI ; Junki YAMAJO ; Nobuaki FUJI ; Yosuke ARIYOSHI ; Sadao KAWAKAMI ; Kyoichi HARADA ; Toshiya OCHIAI ; Kenichi ARATANI ; Katsunori NAKANO ; Hidefumi UEDA ; Takeshi DAIDO ; Hiroyuki INOUE ; Kazuya TAKABATAKE ; Keiji NISHIBEPPU ; Hirotaka KONISHI ; Hitoshi FUJIWARA ; Yoshito ITO ; Eigo OTSUJI ; Atsushi SHIOZAKI
Journal of Gastric Cancer 2026;26(2):232-246
Purpose:
We identified the risk factors for remnant gastric cancer (RGC) based on remnant gastric mucosal characteristics and gastritis morphology in patients undergoing distal gastrectomy.
Materials and Methods:
This multicenter retrospective study included 100 patients with RGC after distal gastrectomy and 550 patients without RGC treated between 2013 and 2020.Endoscopic findings, including anastomotic redness, red streaks, enlarged folds, bile reflux as anastomotic findings, as well as disappearance of the regular arrangement of collecting venules (RAC), atrophic gastritis, and intestinal metaplasia as background gastric mucosal findings, were evaluated. Disease risk score matching (1:1) was adjusted for baseline characteristics. Logistic regression analysis was used to develop a risk score model to stratify RGC risk into low, moderate, and high categories.
Results:
After matching, 96 patients with RGC and 96 controls were analyzed. Anastomotic redness and red streaks, as well as the disappearance of RAC and atrophic gastritis, were significantly more frequent in the RGC group than in the control group, whereas enlarged folds and bile reflux showed no significant differences. Risk scores were assigned as follows:anastomotic redness, 2; red streaks, 3; disappearance of RAC, 7; and atrophic gastritis, 3. The total score stratified patients into high (≥15), moderate (7–14), and low risk (≤6). The positive and negative predictive values were 67.7% and 83.3%, respectively.
Conclusions
The endoscopic findings of anastomotic redness, red streaks, RAC disappearance, and atrophic gastritis were significantly associated with RGC development.The proposed risk-scoring model could serve as a stratification tool for RGC surveillance.
2.Analysis of the Drug Monitoring Information by Using the CYP-Database for Predicting Drug-Drug Interactions
Katsunori Yamaura ; Maki Shimada ; Noriyuki Nakayama ; Masanori Ogawa ; Tadashi Nomoto ; Eiji Nakano ; Takao Namiki ; Koichi Ueno
Japanese Journal of Drug Informatics 2011;12(3):111-116
Objective: In the previous study, the CYP database was constructed in order to relate drug-drug interactions to the CYP metabolic information of the package inserts. In this study, we evaluated the clinical usefulness of the CYP database by using the Pharmaceutical and Medical Devices Agency (PMDA) Drug Monitoring Information.
Methods: We examined the drugs in CYP isoform responsible for drug metabolism. The age, sex, suspect drugs and co-administered drugs were extracted from 6,236 cases of the PMDA database of drug monitoring from January till November of 2008.
Results: Twenty-three percent of all cases had co-administered drugs. Forty-five percent of these cases were metabolized both suspect and co-administered drugs by the same CYP isoform, and three fourths of these cases were able to be detected only by the CYP database. In addition, the administration of substrate medicines in combination with substrate medicines was the largest (57%), followed by cases of substrate medicines in combination with inhibitor medicines (28%). Seventy-seven percent of the suspect drugs that had a large number of reported cases of side effects were substrate medicines, and the frequency of co-administration with substrate medicines was very high.
Conclusion: These data suggest that the CYP database, being used together with package inserts, might be a clinically useful tool to avoid adverse events caused by drug-drug interactions.


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